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Applying the deep learning HAN architecture to solve a multi-target graph regression problem.

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Hierarchical Attention Network (HAN) applied to Graphs

The goal of this project is to apply the deep learning HAN architecture to solve a multi-target graph regression problem.

This project is part of the Altegrad Data Challenge organized in the Paris Saclay's Data Science Master 2.

The data used to train this network can be downloaded here.

More information on the project itself is available here.

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Applying the deep learning HAN architecture to solve a multi-target graph regression problem.

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